[R-meta] robust function equivalency in SAS?

[Viechtbauer, Wolfgang (SP)]

Hi Roger,

Check the 'empirical' option in proc mixed:

https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/statug_mixed_sect008.htm#statug.mixed.mixedprocempirical

However, as far as I can tell based on some quick testing, proc mixed does not seem to use any adjustment to empirical var-cov matrix. So, if you want the same results, you will have to use:

robust(res1, cluster=Dataset$experiment, adjust=FALSE)

Best,
Wolfgang

-----Original Message-----
From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On Behalf Of Martineau, Roger
Sent: Friday, 27 April, 2018 16:21
To: r-sig-meta-analysis at r-project.org
Subject: [R-meta] robust function equivalency in SAS?

Dear list members,

I have this 3-level meta-regression model:

(res1  <- rma.mv(MTPY, SEM^2, data=Dataset,
                       mods = ~
                         MP,
                       random = ~1|experiment/study/line,
                       method = "REML", digits=4))
robust(res1, cluster= Dataset $experiment)

Dr. Viechtbauer showed us how to convert a 2-level model from rma.mv into SAS:

https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2018-April/000761.html

Is there a SAS equivalency to compute the robust function to obtain SE and P-values ?

Best regards,

Roger ☺

Roger Martineau, mv Ph.D.
Centre de recherche et de développement
sur le bovin laitier et le porc
Agriculture et agroalimentaire Canada/Agriculture and Agri-Food Canada
Téléphone/Telephone: 819-780-7319
Télécopieur/Facsimile: 819-564-5507
2000, Rue Collège / 2000, College Street
Sherbrooke (Québec)  J1M 0C8
Canada
roger.martineau at agr.gc.ca<mailto:roger.martineau at agr.gc.ca>